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运维和基础设施执行命令github未标认证来源可访问clear审计提醒

pr-checks公关检查

Agent Skill

pr-checks 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息,适合在 Codex、Claude、Cursor、Gemini CLI 中需要围绕仓库状态、代码变更或协作事项进行整理时使用。可结合来源仓库、安装命令和原始 README 继续核验具体用法。安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。

总安装

970

周安装

40

GitHub Stars

968

下载量

317
CodexClaudeCursorGemini CLI

安装说明

本站只整理中文说明和来源信息,不托管安装包,也不代用户安装。

GitHub

来源数

3

许可证

MIT

最后核验

2026-05-01

来源状态

来源可访问

安装方式

通过对话安装

复制提示词发给支持本地命令或 Skills 的 AI 助手,先确认命令和权限,再让它执行。

请帮我安装这个 Agent Skill:pr-checks(公关检查)
来源仓库:https://github.com/massgen/massgen
仓库路径:skills/pr-checks
安装命令:
npx skills add https://github.com/massgen/massgen --skill pr-checks
安装前请先检查当前环境是否支持对应 CLI,并向我确认将要执行的命令、安装目录、联网范围和文件读写权限;确认后再执行。

命令行安装

复制命令到本机终端执行。不同来源提供的安装方式可能略有差异;本站展示可直接复制的安装命令,安装前请核对来源页面。

skills.shnpx skills
npx skills add https://github.com/massgen/massgen --skill pr-checks

简介

pr-checks 用于处理 GitHub 仓库、Issue、Pull Request 和代码协作信息。

  • 适合在 Codex、Claude、Cursor、Gemini CLI 中围绕仓库状态、代码变更或协作事项进行整理。
  • 通过 npx skills add 命令从指定 GitHub 仓库安装,需结合原始 README 确认具体用法。
  • 安装前建议确认权限范围、维护状态,以及是否会触发联网、命令执行或文件读写。
  • pr-checks 属于运维和基础设施类 Skill,可作为该场景下的辅助能力补充。

SKILL.md

PR Checks Skill

This skill runs comprehensive PR checks to ensure code quality and address review feedback on an existing pull request.

When to Use

Run this skill when:

  • A PR has been created and CodeRabbit has posted review comments
  • You want to address existing review feedback systematically
  • Before requesting final review/merge on a PR

Usage

/pr-checks

Workflow

1. Analyze Current State

First, understand what's being reviewed:

# Check current branch and status
git branch --show-current
git status --short

# Show diff summary vs main
git diff --stat main...HEAD

# Get the PR number for this branch
gh pr view --json number,title,state

2. Review and Fix PR Description

Ensure the PR has a proper description before addressing code comments:

# View current PR description
gh pr view --json body,title

A good PR description should include:

  • Summary: 1-3 bullet points explaining what the PR does
  • Test plan: How to verify the changes work
  • Related issues: Links to Linear/GitHub issues (e.g., Closes MAS-XXX)

If the description is missing or inadequate:

# Update the PR description
gh pr edit --body "$(cat <<'EOF'
## Summary
<1-2 sentence overview of what this PR accomplishes>

### Changes
- <change 1: what was added/modified/removed>
- <change 2>
- <change 3>
- ...

### Technical details (if applicable)
<Brief explanation of implementation approach, architectural decisions, or non-obvious changes>

## Test plan
- [ ] <verification step 1>
- [ ] <verification step 2>
- [ ] <edge case or error scenario tested>

## Related issues
Closes MAS-XXX

## Screenshots/recordings (if applicable)
<Add screenshots for UI changes, terminal output for CLI changes>

🤖 Generated with [Claude Code](https://claude.com/claude-code)
EOF
)"

Fix the title if needed (should follow conventional commits format):

# Update PR title
gh pr edit --title "feat: descriptive title here"

3. Review Existing CodeRabbit Comments

This is the primary workflow. CodeRabbit automatically reviews PRs and posts comments. Use /pr-comments to fetch and process them:

/pr-comments

This fetches all review comments from the PR. For each CodeRabbit comment:

  1. Read the comment - Understand what CodeRabbit is suggesting
  2. Evaluate relevance - Is this a valid concern for this codebase?
  3. Decide action - One of:

- ✅ Implement - The suggestion is valid and worth fixing - ❌ Skip - The suggestion doesn't apply or is too minor - ❓ Clarify - Need more context from user before deciding

Walk through comments one by one with the user:

## CodeRabbit Comment #1 of 5

**File:** `massgen/backend/foo.py:45`

**Original code:**

response = client.api_call(params) return response.data


**CodeRabbit suggestion:**

> Consider adding error handling for the API call. The request could fail due to network issues or API errors, which would cause an unhandled exception. This is especially important since this is called from the main orchestration loop where failures could crash the entire run. [truncated - 8 more lines]

**Suggested change:**

try: response = client.api_call(params) return response.data except APIError as e: logger.error(f"API call failed: {e}") raise


**My assessment:** Valid concern - the API call could fail and there's no error handling.

**Recommendation:** ✅ Implement

Do you want me to:

1. Implement this fix
2. Skip this comment
3. Need more information

After user decides, resolve the comment on GitHub:

# If implemented or intentionally skipped, resolve the comment thread
gh api graphql -f query='
  mutation {
    resolveReviewThread(input: {threadId: "THREAD_ID"}) {
      thread { isResolved }
    }
  }
'

Alternatively, reply to the comment explaining the action taken:

# Reply to the comment
gh pr comment <PR_NUMBER> --body "Addressed in <commit-sha>: <brief description of fix>"

When showing comments:

  • Show the original code being discussed
  • Show the full suggestion text (truncate if >15 lines with "[truncated - N more lines]")
  • Show the suggested change if CodeRabbit provided one
  • Include line numbers for context

Wait for user approval before implementing each fix. This ensures:

  • User maintains control over what changes are made
  • No unnecessary changes are introduced
  • Context-specific decisions can be made

4. Run Pre-commit Hooks

After making fixes, run pre-commit to ensure code style:

uv run pre-commit run --all-files

If issues are found, fix them and commit.

5. Run Tests

# Run tests (skip expensive API tests)
uv run pytest massgen/tests/ -v -m "not expensive and not docker" -x --tb=short

6. Validate Configs (if modified)

uv run python scripts/validate_all_configs.py

7. Commit and Push Fixes

# Stage fixes
git add -u .

# Commit with descriptive message
git commit -m "fix: address CodeRabbit review comments

- Fix error handling in foo.py
- Add missing type hints in bar.py

🤖 Generated with [Claude Code](https://claude.com/claude-code)

Co-Authored-By: Claude <noreply@anthropic.com>"

# Push to trigger CodeRabbit re-review
git push

8. Run PR Review Toolkit (Optional)

For additional analysis beyond CodeRabbit:

/pr-review-toolkit:review-pr

This runs specialized agents for:

  • Code review against project guidelines
  • Silent failure detection
  • Type design analysis
  • Test coverage analysis

9. (Optional) Run Local CodeRabbit Review

If you want to run a fresh local review (separate from GitHub PR comments):

coderabbit --prompt-only --type committed

Note: This runs CodeRabbit's own analysis locally, which may differ from the automated PR review. The GitHub PR comments from step 3 are typically more thorough since they have full PR context.

10. Generate Summary

After all checks, output a summary:

## PR Checks Summary

### Branch: feature/my-feature
- PR #123: "feat: add new feature"
- Commits ahead of main: 3
- Files changed: 5

### PR Description
✅ Has summary, test plan, and issue links

### CodeRabbit Comments Addressed

| Comment | File | Action |
|---------|------|--------|
| Add error handling | foo.py:45 | ✅ Implemented |
| Consider caching | bar.py:12 | ❌ Skipped (not applicable) |
| Missing type hint | baz.py:78 | ✅ Implemented |

### Check Results

| Check | Status |
|-------|--------|
| Pre-commit | ✅ Passed |
| Tests | ✅ 47 passed |
| Config Validation | ✅ Valid |

### Ready for Merge?
✅ All critical issues addressed, ready for final review

Reference

PR Description Template

## Summary
<1-2 sentence overview of what this PR accomplishes>

### Changes
- <change 1: what was added/modified/removed>
- <change 2>
- <change 3>

### Technical details (if applicable)
<Implementation approach, architectural decisions, or non-obvious changes>

## Test plan
- [ ] Step to verify functionality
- [ ] Edge cases tested
- [ ] Error scenarios handled

## Related issues
Closes MAS-XXX

## Screenshots/recordings (if applicable)
<For UI/CLI changes>

## Breaking changes (if applicable)
<What breaks and migration steps>

PR Title Format

Use conventional commits format:

  • feat: - New feature
  • fix: - Bug fix
  • docs: - Documentation only
  • refactor: - Code change that neither fixes a bug nor adds a feature
  • perf: - Performance improvement
  • test: - Adding or updating tests
  • chore: - Maintenance tasks

Pre-commit Hooks

  • black - Python formatter (200 char line)
  • isort - Import sorter
  • flake8 - Style checker
  • autoflake - Remove unused imports

Test Markers

  • @pytest.mark.expensive - Skip in quick checks
  • @pytest.mark.docker - Docker-dependent

CodeRabbit Config

See .coderabbit.yaml for path-specific review instructions and exclusions.

适合场景

01

用户想查找某类 Agent Skill 时

02

需要根据任务场景推荐可安装能力包时

03

需要对比不同来源的安装命令和来源信息时

04

需要参考平台分布和安装热度时

能力概览

能力 1

按任务关键词查找相关 Skills

能力 2

展示可复制的安装命令

能力 3

保留来源站点、仓库和原始说明,方便继续核验

能力 4

补充不同宿主或平台的使用分布数据

能力 5

展示第三方安全扫描或审计结果

安装后应在对应宿主中按原始 README 的触发条件使用;具体调用方式请以来源页面和 README 为准。

平台分布

Claude Code

29.46%
按下载量换算93

OpenCode

25.16%
按下载量换算80

Antigravity

17.44%
按下载量换算55

windsurf

12.64%
按下载量换算40

Codex

8.64%
按下载量换算27

Gemini CLI

3.14%
按下载量换算10

安全审计

Gen Agent Trust Hub

通过

Socket

通过

Snyk

可疑

权限和风险

执行命令

安装流程涉及命令执行,可能通过 npx skills add https://github.com/massgen/massgen --skill pr-checks;npx skills add massgen/massgen --skill "pr-checks" 联网下载 Skill 或依赖。用户安装前应确认命令来源、仓库内容和执行环境。

安装前确认

本站仅展示第三方公开信息,不托管安装包,不提供自动安装或运行环境。安装前应自行审查源码、依赖和命令行为。来源安全扫描存在 warning/failed 结果,不能写成本站确认安全。

来源信息

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